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Wavelet and statistical analysis for melanoma classification
Amit J. Nimunkar
,
Atam P. Dhawan
, Patricia A. Relue
, Sachin V. Patwardhan
Electrical and Computer Engineering
Office of the Provost
Research output
:
Contribution to journal
›
Article
›
peer-review
12
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Scopus citations
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Dive into the research topics of 'Wavelet and statistical analysis for melanoma classification'. Together they form a unique fingerprint.
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Computer Science
Frequency Analysis
100%
Wavelet Coefficient
100%
False Positive
100%
Wavelet Decomposition
100%
Feature Space
100%
Spatial Frequency
100%
Wavelet Domain
100%
False Positive Rate
100%
Image Intensity
100%
Discriminant Function
100%
True Positive Rate
100%
Discrimination Function
100%
Entropy
100%
Keyphrases
Statistical Analysis
100%
False Positive Rate
100%
Melanoma Classification
100%
Wavelet Analysis
100%
Melanoma
66%
Distributed Features
66%
Wilcoxon Rank Sum Test
33%
Wavelet Decomposition
33%
Image Intensity
33%
Wavelet Coefficients
33%
Feature Space
33%
Three-level
33%
Wavelet Domain
33%
Receiver Operating Characteristic Curve
33%
Dysplastic Nevus
33%
Discrimination Function
33%
Mean Energy
33%
Spatial Frequency Analysis
33%
Discriminant Function
33%
Mean-variance
33%
Selective Features
33%
Skin Lesion Images
33%
Mean Entropy
33%
Mathematics
Statistical Analysis
100%
Wavelet
100%
Wavelet Analysis
100%
Standard Deviation
33%
Feature Space
33%
False Positive Rate
33%
Mean Variance
33%
Positive Rate
33%
Spatial Frequency
33%
Entropy
33%
Rank Sum Test
33%
Chemistry
Entropy
100%